Other packages > Find by keyword >

rFIA  

Estimation of Forest Variables using the FIA Database
View on CRAN: Click here


Download and install rFIA package within the R console
Install from CRAN:
install.packages("rFIA")

Install from Github:
library("remotes")
install_github("cran/rFIA")

Install by package version:
library("remotes")
install_version("rFIA", "1.0.0")



Attach the package and use:
library("rFIA")
Maintained by
Hunter Stanke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-28
Latest Update: 2023-03-12
Description:
The goal of rFIA is to increase the accessibility and use of the United States Forest Services USFS Forest Inventory and Analysis FIA Database by providing a user-friendly open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives rFIA simplifies the estimation of forest variables from the FIA Database and allows all R users experts and newcomers alike to unlock the flexibility inherent to the Enhanced FIA design. Specifically rFIA improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages e.g. dplyr tidyr and sf facilitates efficient space-time query and data summary and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold Patterson 2005 doi10.2737SRS-GTR-80 and has been validated against estimates and sampling errors produced by FIA EVALIDator. Current development is focused on the implementation of spatially-enabled model-assisted estimators to improve population change and ratio estimates.
How to cite:
Hunter Stanke (2019). rFIA: Estimation of Forest Variables using the FIA Database. R package version 1.0.0, https://cran.r-project.org/web/packages/rFIA. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2019-10-28 14:30), 0.1.1 (2019-11-12 18:30), 0.2.0 (2020-01-09 18:50), 0.2.1 (2020-04-03 21:20), 0.2.2 (2020-04-27 16:00), 0.2.3 (2020-05-17 00:30), 0.2.4 (2020-09-17 21:00), 0.3.0 (2020-12-07 18:30), 0.3.1 (2021-01-15 06:30), 0.3.2 (2021-06-10 17:20), 1.0.0 (2021-12-15 19:10)
Other packages that cited rFIA R package
View rFIA citation profile
Other R packages that rFIA depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

ddp  
Desirable Dietary Pattern
The desirable Dietary Pattern (DDP)/ PPH score measures the variety of food consumption. The (weigh ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
equatiomatic  
Transform Models into 'LaTeX' Equations
The goal of equatiomatic is to reduce the painassociated with writing LaTeX formulas from fitted mod ...
Download / Learn more Package Citations See dependency  
seriation  
Infrastructure for Ordering Objects Using Seriation
Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordinati ...
Download / Learn more Package Citations See dependency  
mailR  
A Utility to Send Emails from R
Interface to Apache Commons Email to send emails from R. ...
Download / Learn more Package Citations See dependency  
maic  
Matching-Adjusted Indirect Comparison
A generalised workflow for generation of subject weights to be used in Matching-Adjusted Indirect C ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA